Dai-Nhan Duong

Papers

Total Citations

H-Index

About

Dai-Nhan Duong is a rising researcher in robotics and intelligent control systems, with a focused expertise in two-wheeled self-balancing robots (TWSB). His work addresses critical challenges in dynamic stabilization and autonomous navigation under real-world conditions. In his highly cited 2024 paper, Duong introduced an adaptive nonlinear proportional-derivative (ANPD) controller for TWSB robots modeled using the Lagrange equation, effectively countering external forces—a key advancement for practical deployment in uneven or unpredictable environments. This work has already garnered 13 citations, signaling its impact on the field. Building on this foundation, his 2025 study proposes an optimal navigation strategy that integrates an adaptive fuzzy controller with a KD-SegNet deep learning architecture, achieving robust path planning and balance control. With 6 citations in its first year, this paper demonstrates Duong’s ability to bridge classical control theory with modern AI techniques. His contributions are particularly notable for their practical orientation, offering scalable solutions for service robots, assistive devices, and mobile platforms. As a researcher at the forefront of mechatronics and adaptive control, Duong is shaping the next generation of intelligent, self-balancing robotic systems.